Lab Meetings

Irina, Christine, and Savannah at the Lab's first Data Jamboree  "Never has sitting in the same room and working with others had a title so fun." @christinebaugh

Irina, Christine, and Savannah at the Lab's first Data Jamboree

"Never has sitting in the same room and working with others had a title so fun." @christinebaugh


May 21: Therri Usher, FDA
April 16: Carrie Fry
March 19: Data Integrity and Security
February 12: Alyssa Bilinski


December 18: Maia Majumder
November 6
: Alex McDowell
October 16
: Toyya Pujol-Mitchell
September 13
: Austin Denteh (special time: 11AM)
August 30
: Anna Zink
August 21:
 12-4:30pm: Data Jamboree 2018
July 26: Bret Zeldow
April 19: Sam Adhikari
March 22: Anas El Turabi
February 15: Christoph Kurz


December 14: Caroline Kelley
November 9: Nicole Maestas
October 5: Katherine Donato
September 7: Kate Lofgren
May 25 End of Semester Event
April 27 Identifying and measuring utilization of new technologies in Medicare claims data, Jean Biniek
March 23 Clustering health utilization trajectories, Megan Schuler
February 23 Doing field work, Christine Baugh
January 26 Pitching your research, Laura Hatfield / Sherri Rose


December 1 Scoping out and managing randomized evaluations: Lessons from J-PAL North AmericaJamie Daw
October 20 Developing risk scores for mental disorders, AJ Rosellinislides
September 29 Akritee Shrestha, slidesSavannah Bergquistslides
August 25 Risk scores for cardiovascular disease, Ian Nason
July 7 Affordability in cost-effectiveness analysis, Alyssa Bilinski
June 9 Loss functions in safety decision making, Laura Hatfield
May 5 Data Science and healthcare solutions at IBM Watson Health, Kevin Tran
April 7 Transgender health curriculum integration, Alex Maher
February 25 Parallel programming, Anas El Turabi
January 21 Health care trajectory modeling, Laura Hatfield & Nina Joyce

Carrie, Jake, and Sam science-ing

Carrie, Jake, and Sam science-ing


December 3 Variation in sports medicine staffing and clinician patient load at NCAA colleges, Christine Baugh
November 12 Control group selection, Jamie Daw
October 15 Upcoding: Evidence from Medicare on Squishy Risk Adjustment, Tim Layton
September 17 Arkansas Payment Improvement Initiative, Caitlin Carroll
August 27 Pre-analysis Plans, Sherri Rose
July 23 Exploring Sweave: Adventures in Reproducible Research Tools, Savannah Bergquist [Demo]
June 16
Welcome to the lab

Lab Member Presentations


November 5, 2018 Alyssa Bilinski will present Seeking Evidence of Absence: Reconsidering Tests of Model Assumptions in the Econometrics lunch workshop in Littauer M-15, North Yard, Harvard, Cambridge MA.

October 14-16, 2018 40th Annual Meeting of the Society for Medical Decision Making in Montréal, Québec

Kate Lofgren will present Replication Studies, an Inherent Good?Health Benefits Design: Integrating Multiple Objectives, and If a Value of Information Analysis Falls in the Forest... 

Alyssa Bilinski will present Costly Disagreements: A Survey of Researchers on Cost-Effectiveness and Affordability and Machine Learning to Improve Meta-Modelling and Sensitivity Analysis: An HIV Case Study

July 28-August 2, 2018 Joint Statistical Meetings in Vancouver, BC

Laura Hatfield and Sherri Rose spoke on an invited panel titled Big Data Detectives: Improving Human Heath through Informing Policy

Bret Zeldow presented causal inference for outcomes that are partially identified by longitudinal laboratory measures in electronic health measures

Savannah Bergquist spoke about intervening on the data to improve the performance of health plan payment methods

Alyssa Bilinksi shared her work on a better parallel trends test

Alex McDowell talked about the effect of state-level policies that ban health insurance discrimination on the basis of gender identity

June 8, 2018 Sherri Rose was an invited speaker at the 7th Annual Thomas Ten Have Symposium on Statistics in Mental Health. View her slides.

May 22, 2018 Laura Hatfield and Sherri Rose presented in a panel on complex real world evidence at the ISPOR 23rd Annual International Meeting.

April 25, 2018 Sherri Rose discussed machine learning for prediction and causal inference in a session entitled The Future is Now at the DIA/FDA Biostatistics Industry and Regulator Forum.

April 12, 2018 Sherri Rose and OptumLabs' Bill Crown presented an AcademyHealth Webinar on Machine Learning for Health Economics, organized by the Health Economics Interest Group.

March 28, 2018 Laura Hatfield spoke about Clustered Discrete State Trajectories of Varying Lengths: Health Care Utilization Patterns at the ENAR 2018 Spring Meeting in Atlanta, GA.

March 26, 2018 Sherri Rose presented on Robust Estimation for Multiple Unordered Treatments at the ENAR 2018 Spring Meeting in Atlanta, GA.

March 5, 2018 Sherri Rose was a panelist at the Women in Data Science Conference event in Cambridge.

January 18, 2018 Sherri Rose and Laura Hatfield presented a short course on Machine Learning and Bayesian Approaches for Data Science in Medicine at Harvard Catalyst.

January 10-12, 2018 International Conference on Health Policy Statistics in Charleston, SC

Sherri Rose presented on Robust Statistical Machine Learning for Multiple Unordered Treatments with Treatment Effect Heterogeneity: Evaluating Drug-Eluting Coronary Artery Stents 

Christoph Kurz discussed Bayesian Nonparametric Clustering and Inference for Inpatient Health Care Utilization 

Savannah Bergquist spoke on Improving the Allocation of Resources with Modified Data and the Health Plan Payment System 

Laura Hatfield presented Choosing comparison groups for difference-in-difference studies 

Kate Lofgren presented Where to Next? Priority Setting with Value of Information 


November 10, 2017 Jamie Daw gave a talk on Health insurance changes before and after childbirth in the United States at the annual meeting of the American Public Health Association in Atlanta, GA. 

November 3, 2017 Jeannie Biniek presented a poster titled Physician responses to a medical reversal and subsequent adoption of a new class of drugs – is the past prelude? at the annual meeting of the Association for Public Policy Analysis and Management in Chicago, IL.

October 28, 2017 Christine Baugh presented research Current Evidence on Football and Brain Trauma at the Carnegie Mellon University Sports Analytics Conference in Pittsburgh, PA. 

October 24, 2017 Alyssa Bilinski presented a poster titled When Cost-Effective Interventions Are Unaffordable: Integrating Cost-Effectiveness and Budget Impact in Global Health Priority Setting at the Society for Medical Decision Making's annual meeting in Pittsburgh, PA.

October 22, 2017 Kate Lofgren gave a short course on Decision Science Demystified at the Society for Medical Decision Making's annual meeting in Pittsburgh, PA.

October 20, 2017 Sam Adhikari talked about Post PhD Academic Life at Carnegie Mellon's Department of Statistics in Pittsburgh, PA.

October 20, 2017 Laura Hatfield spoke on a panel about Networking Among Junior Statisticians: Peer Mentoring and Strategies to Promote One Another at the Women in Statistics and Data Science conference in La Jolla, CA.

October 12, 2017 Laura Hatfield and Sherri Rose gave a Harvard Medical School "Talks@12" seminar on advancing human health with data science. This event was live streamed and the recording is available.

September 29, 2017 Laura Hatfield gave an invited talk at the BiostatMCW 2017 conference Biostatistics in the Modern Computing Era in Milwauke, WI.

July 30-Aug 2, 2017 Joint Statistical Meetings in Baltimore, MD

Sherri Rose presented on computational health economics for health care spending.

Kate Lofgren presented a SPEED poster on quantifying the value of research: identifying and measuring treatment effect modifiers.

Savannah Bergquist presented a poster on Medicare risk adjustment with systematically missing data.

Laura Hatfield discussed handling incomplete correlated continuous and binary outcomes in meta-analysis of individual participant data.

Christine Baugh spoke about football and health: a review of the evidence

June 25-27, 2017 AcademyHealth Annual Research Meeting in New Orleans, LA

Jamie Daw presented posters on health insurance changes before and after childbirth in the United States and on matching and regression-to-the-mean in difference-in-difference studies.

Sherri Rose discussed her work on methods for risk adjustment in Medicare Advantage.

Rebecca Gourevich spoke on use of a price transparency tool for childbirth and variation in colonoscopy quality and give a poster on who uses a price transparency tool.

July 10, 2017 World Congress of the International Health Economics Association in Boston, MA

Sherri Rose spoke about improving health care system performance with normative data for payment calibration.

Jean Biniek gave a talk on characterizing physician prescribing: novel medications and effects of medical reversals.

May 24, 2017 Sherri Rose was a featured invited speaker at the Machine Learning in Health Care: Industry Applications Summit. Her slides on computational health economics and outcomes research are available online.

May 23, 2017 Sherri Rose was a panelist presenting on real-world evidence and integrated data sets at the International Society for Pharmocoeconomics and Outcomes Research Meeting. View her slides.

April 24, 2017 Lab faculty member Sherri Rose taught a half-day short course on targeted learning methods at the Channel Network Conference of the International Biometric Society (IBS). This conference was organized by the Belgium, France, Great Britain/Ireland, and Netherlands regions of the IBS.

April 24, 2017 Lab faculty member Laura Hatfield spoke on a panel about Medical Devices: Generating and Using Real-World Observational Data for Decision-Making on Value at the CADTH Symposium in Ottawa, ON.

March 13, 2017 Sherri Rose gave a presentation on computational health economics for identification of unprofitable health care enrollees at the ENAR Annual Meeting in Washington, DC.

March 14, 2017 Laura Hatfield spoke about models for Medicare supplemental insurance choices at the ENAR Annual Meeting in Washington, DC.

February 27-28, 2017 Lab faculty member Sherri Rose taught two half-day short courses on statistical machine learning at the Causal Inference Methods for Patient Centered Outcomes Research using Observational Data (CIMPOD) Conference.


December 19, 2016 Sherri Rose presented on statistical learning for (global) public health and policy in the Quality and Responsiveness Lab at Harvard T.H. Chan School of Public Health.

December 16, 2016 Akritee Shrestha presented her work on mental health spending risk adjustment using clinical categories and machine learning during her biostatistics master's thesis defense. She aced it! 

November 18, 2016 Lab faculty member Laura Hatfield presented her work on modeling hierarchical variance with Kronecker structure, with application to quality measures in Medicare Advantage at University of Washington's Department of Statistics.

November 10, 2016 Sherri Rose co-taught a short course on targeted learning at Columbia University's Causal Inference Conference.

November 8, 2016 Savannah Bergquist presented in the Health Policy PhD Program Research Seminar on her dissertation work in Medicare risk adjustment.

November 3, 2016 Laura Hatfield spoke at the APPAM 2016 Pre-Conference Workshop on "Modeling insurance choice for the Medicare population" in Washington, DC.

October 27, 2016 Lab faculty member Sherri Rose presented her work in computational health economics and health outcomes research at Harvard Medical School's Health Care Policy Advisory Council Meeting.

October 20, 2016 Lab student Savannah Bergquist presented in the Harvard Health Economics Seminar on her dissertation work on computational health economics with normative data.

October 15, 2016 Sherri Rose presented on "Machine Learning and Biostatistics for Public Health" in an invited session she organized on the societal impact of statistical science at the annual SACNAS meeting in Long Beach, CA. She also spent time recruiting students for the Harvard Summer Program in Biostatistics and Computational Biology as well as Harvard's PhD programs in Health Policy and Biostatistics.

September 22, 2016 Laura Hatfield gave a talk on "Incorporating decision-maker loss functions in safety monitoring" at Brigham Young University's Statistics Department in Provo, UT.

September 8, 2016 Sherri Rose spoke about "Targeted Statistical Learning for Health Care Spending" in an invited session at the Royal Statistical Society International Meeting in Manchester, UK.

August 3, 2016 Lab faculty member Laura Hatfield spoke about "Varying relationships between beneficiary traits and quality measures affect comparisons in Medicare Advantage" in a topic contributed session at the Joint Statistical Meetings in Chicago, IL.

August 2, 2016 Lab student Jamie Daw presented "Matching and regression to the mean in the difference-in-differences design" in a SPEED session at the Joint Statistical Meetings in Chicago, IL.

August 1, 2016 HCP Seidman Fellow Megan Schuler gave a talk on "Characterizing heterogeneity in patient treatment preferences" in an invited session at the Joint Statistical Meetings in Chicago, IL.

July 20, 2016 Sherri Rose participated in the Pipelines into Biostatistics Visiting Faculty Workshop in the Department of Biostatistics in the Harvard T.H. Chan School of Public Health where she shared her work on "Machine Learning in Biostatistics and Health Policy" with faculty from minority-serving institutions.

June 27, 2016 Laura Hatfield presented on a panel "Using Bayesian Analysis to Produce Better and More Useful Estimates of Intervention Impacts" at the AcademyHealth Annual Research Meeting in Boston, MA.

June 14, 2016 Laura Hatfield presented a poster on "Incorporating regulator loss functions in hospital safety decision making" at the ISBA World Meeting in Sardinia, Italy.

June 5, 2016 Sherri Rose presented "Ensembles for Health Care Economics Research" in the Data Science group at the Fred Hutchinson Cancer Research Center.

May 25, 2016 Sherri Rose was an invited panelist at the International Society for Pharmacoeconomics and Outcomes Research annual meeting in Washington, DC, where she presented and discussed ensembling methods for health spending.

March 29, April 5, & April 11, 2016 Sherri Rose presented "A Robust Machine Learning Approach for Variable Importance in Health Spending" in the Harvard Health Economics SeminarMcGill University Biostatistics Seminar, and Brown University Statistics Seminar.


December 15 HCP Seidman Fellow Megan Schuler presented "Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies" in the Seidman Fellowship Seminar Series at Harvard Medical School.

November 9 Lab faculty member Laura Hatfield presented "Methods Toolkit: Health Services, Outcomes Research, and Policy Analysis" in the Harvard Catalyst course T3/T4 Research: Translating Effective Interventions into Practice. Download the slides.

October 20 Lab faculty Laura Hatfield presented "Microsimulation for health policy research" in the Harvard Health Economics seminar. Download the slides.

October 14 HCP Seidman Fellow Megan Schuler co-taught a short course on observational data methods at the Addiction Health Services Research Conference in Marina del Rey, CA.

October 8-9 Several members of the Lab presented at the International Conference on Health Policy Statistics in Providence, RI.

Laura Hatfield: Tailoring Treatment Information Using Personal Characteristics and Health Outcome Preferences.

Sherri Rose: A Machine Learning Framework to Prevent 'Gaming' in Plan Payment Risk Adjustment.

Megan Schuler: Propensity Score Weighting Methods for a Continuous Treatment in a Multilevel Data Setting.

September 30 Lab faculty Laura Hatfield and Sherri Rose taught a half-day short course Methods for Multiple Treatment Comparisons at the MDEpiNet Annual Meeting in Silver Spring, MD. Download the slides.

September 28 Lab faculty member Sherri Rose gave a presentation on health policy data science for the U.S. Department of Veteran's Affairs new "Big Data Scientist Training Enhancement Program" kick-off meeting. Download the slides. Watch the webinar here, presentation 4 [0:44:25].

August 12-13 Several members of the Health Policy Data Science Lab presented their work at the Joint Statistical Meetings in Seattle, Washington.

Laura Hatfield: Modeling Multiple Outcomes to Inform Patient Treatment Decisions. Download the slides.

Megan Schuler: Implementing Propensity Score Methods: A Review of the Statistical Software. Download the slides.

Sherri Rose: Machine Learning Techniques for Plan Payment Risk Adjustment.

July 23  Health Policy PhD student Savannah Bergquist presented an overview of Sweave at HPDS Lab meeting. Download the slides and the demo file.

July 20 Lab faculty member Laura Hatfield visited the Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College to give a seminar on Incorporating regulator loss functions for safety signal escalation. Download the slides.